This repository compiles important contributions in deep reinforcement learning as an organized awesome list. It covers topics including value-based methods, policy gradients, model-based RL, multi-agent systems, hierarchical RL, meta-learning, and connections to AGI. The list serves as a reference for researchers and practitioners studying deep RL fundamentals and recent advances.